A review of non-rigid transformations and learning-based 3D point cloud registration methods

S Monji-Azad, J Hesser, N Löw - ISPRS journal of photogrammetry and …, 2023 - Elsevier
Point cloud registration is a research field where the spatial relationship between two or
more sets of points in space is determined. Point clouds are found in multiple applications …

Critical phenomena in complex networks

SN Dorogovtsev, AV Goltsev, JFF Mendes - Reviews of Modern Physics, 2008 - APS
The combination of the compactness of networks, featuring small diameters, and their
complex architectures results in a variety of critical effects dramatically different from those in …

Bayesian predictive beamforming for vehicular networks: A low-overhead joint radar-communication approach

W Yuan, F Liu, C Masouros, J Yuan… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The development of dual-functional radar-communication (DFRC) systems, where vehicle
localization and tracking can be combined with vehicular communication, will lead to more …

New frontiers in spectral-spatial hyperspectral image classification: The latest advances based on mathematical morphology, Markov random fields, segmentation …

P Ghamisi, E Maggiori, S Li, R Souza… - … and remote sensing …, 2018 - ieeexplore.ieee.org
In recent years, airborne and spaceborne hyperspectral imaging systems have advanced in
terms of spectral and spatial resolution, which makes the data sets they produce a valuable …

A simple variational Bayes detector for orthogonal time frequency space (OTFS) modulation

W Yuan, Z Wei, J Yuan, DWK Ng - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The emerging orthogonal time frequency space (OTFS) modulation technique has shown its
superiority to the current orthogonal frequency division multiplexing (OFDM) scheme, in …

[КНИГА][B] Probabilistic graphical models: principles and techniques

D Koller, N Friedman - 2009 - books.google.com
A general framework for constructing and using probabilistic models of complex systems that
would enable a computer to use available information for making decisions. Most tasks …

Graphical models, exponential families, and variational inference

MJ Wainwright, MI Jordan - Foundations and Trends® in …, 2008 - nowpublishers.com
The formalism of probabilistic graphical models provides a unifying framework for capturing
complex dependencies among random variables, and building large-scale multivariate …

A fuzzy probability Bayesian network approach for dynamic cybersecurity risk assessment in industrial control systems

Q Zhang, C Zhou, YC Tian, N **ong… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the increasing deployment of data network technologies in industrial control systems
(ICSs), cybersecurity becomes a challenging problem in ICSs. Dynamic cybersecurity risk …

Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling

Q Yang, L Wang, R Yang… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
In this paper, we formulate a stereo matching algorithm with careful handling of disparity,
discontinuity and occlusion. The algorithm works with a global matching stereo model based …

Bayesian compressive sensing via belief propagation

D Baron, S Sarvotham… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Compressive sensing (CS) is an emerging field based on the revelation that a small
collection of linear projections of a sparse signal contains enough information for stable, sub …